Molecular/Cell Biologist

Deep Genomics
Job Location
Toronto, ON
    • Leading role in developing the future of genomic diagnostics and therapeutics
    • Inspiring, creative, and fast-moving startup work environment in downtown Toronto
    • Competitive compensation package
Job Description

We are applying state-of-the-art AI techniques to build a proprietary machine learning platform to accurately predict a drug’s biological effects.  Unlike traditional approaches, this platform enables us to rapidly design novel therapeutics. We are seeking highly motivated and creative molecular/cell biologists with substantial lab experience to help bring our drug candidates to the clinic.  You will be working in an interdisciplinary environment that includes highly talented computer scientists and engineers, bioinformaticians, geneticists, and molecular/cell/cancer biologists. You will help design, execute, and troubleshoot novel high-throughput experiments in addition to assisting with the functional validation of lead candidates using cell culture systems as well as animal models in collaboration with animal study experts.

    • BS, MS or PhD in molecular/cell biology or related fields
    • Extensive experience with basic molecular/cell biology techniques, including mammalian cell culture, transfection/electroporation, subcloning, western blotting, ELISA, and RT-PCR

 Preferred but optional qualifications

    • Experience with functional screening experiments, lab automation, next generation sequencing-based experiments, animal experiments, or medicinal chemistry experiments
    • Familiarity with molecular genetics or cancer biology
    • Familiarity with computer programming or machine learning concepts
    • Basic skills in at least one scripting languages (preferably Python)
How to Apply

To apply for this position, please follow this link:

About Our Organization

Deep Genomics is a Toronto based startup aiming to revolutionize genome-based therapeutics using machine learning. It was founded by a team of scientists from the University of Toronto and is led by Dr. Brendan Frey, a world-leading researcher in the area of machine learning and genome biology. 

New study finds bias against female lecturers among student course evaluations, the Economist reports.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.